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PhD Position in Computational Materials Discovery for Extreme Environments

PhD Position in Computational Materials Discovery for Extreme Environments

PhD Position in Computational Materials Discovery for Extreme Environments

PhD Position in Computational Materials Discovery for Extreme Environments

Eidgenössische Technische Hochschule Zürich, ETHZ

Pharma, Medizintechnik

Zürich

  • Art der Beschäftigung: Vollzeit
  • Vor Ort
  • Zu den Ersten gehören

PhD Position in Computational Materials Discovery for Extreme Environments

Über diesen Job

PhD Position in Computational Materials Discovery for Extreme Environments

Eidgenössische Technische Hochschule Zürich, ETHZ
Arbeitsort Zürich - Region Zürich - Schweiz
Kategorie
Materialwissenschaft | Umwelt
Funktion
Forschende (Junior) / Doktorand.in
Erschienen

PhD Position in Computational Materials Discovery for Extreme Environments

100%, Zurich, fixed-term

The Materials Modeling Group (Prof. Malik Wagih), launching February 2026 in the Department of Materials at ETH Zurich, invites applications for PhD positions starting June 2026 or by mutual agreement.

We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where conventional materials fail.

Job description

You will:

  • Develop and apply physics-based and data-driven methods to tackle fundamental challenges in materials design
  • Projects span defect thermodynamics and kinetics, coarse-graining across time and length scales, machine learning from small and multi-fidelity datasets, and autonomous discovery workflows.
  • You will collaborate with experimentalists at ETH Zurich and beyond, and play an active role in shaping a new research lab

Profile

  • Master’s degree (or 4-year bachelor’s) in Materials Science, Mechanical Engineering, Physics, or a related field
  • Proficiency in programming and scientific computing
  • Prior experience or coursework in density functional theory, molecular dynamics, or machine learning is advantageous
  • Effective communication skills in English
  • Interest in metals and alloys
  • Interest in collaborating with experimentalists

Workplace

We offer

  • Fully funded position with competitive salary according to ETH standards
  • Access to state-of-the-art computational infrastructure
  • Interdisciplinary and international research environment

Working, teaching and research at ETH Zurich

We value diversity and sustainability

In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us - we are consistently working towards a climate-neutral future .

Curious? So are we.

We look forward to receiving your online application with the following documents (in PDF format):

  • A 1-page cover letter describing your research experience, interests, and why you are interested in this position
  • Curriculum vitae
  • Contact information for at least two referees
  • Academic transcripts from all degrees (unofficial copies accepted)

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For further information about the position, please contact Prof. Malik Wagih at malik.wagih @ mat.ethz.ch (no applications).

Review of applications will begin in March 2026 and continue until positions are filled. Early applications are encouraged.



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